DATA 115 - Data Preparation

Credits: 5
Variable Credit Course: No

Lecture Hours: 55
Lab Hours: 0
Worksite/Clinical Hours: 0
Other Hours (LIA/Internships): 0

Course Description: Gain fundamental skills in data preparation, including data cleaning, transformation, and enrichment. Through a hands-on approach using modern data preparation software, learn the tasks, processes, and techniques needed to ensure data is ready for high-quality, reliable analysis.

Prerequisite: None.
Meets FQE Requirement: No
Integrative Experience Requirement: No

Student Learning Outcomes

Address data quality issues including missing and duplicate records.
Transform features to uniform formats, units, and scales.
Enrich data with derived fields from existing features and external sources.
Shape and aggregate data for analysis and visualization.

Course Contents

Data quality.
Data cleansing.
Data transformation.
Data enrichment.
Shaping data for analysis and visualization.

Instructional Units: 5